A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset
This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases. In Phase I, the region of interest (ROI) is identified by estimating the cavity boundary. Speckle noi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Publishing Corporation
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36172/1/36172.pdf |
| _version_ | 1825948789827960832 |
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| author | Dawood, Faten Abed Ali O. K. Rahmat, Rahmita Wirza Kadiman, Suhaini Abdullah, Lili Nurliyana Dimon, Mohd Zamrin |
| author_facet | Dawood, Faten Abed Ali O. K. Rahmat, Rahmita Wirza Kadiman, Suhaini Abdullah, Lili Nurliyana Dimon, Mohd Zamrin |
| author_sort | Dawood, Faten Abed Ali |
| collection | UPM |
| description | This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases. In Phase I, the region of interest (ROI) is identified by estimating the cavity boundary. Speckle noise reduction and contrast enhancement were implemented in Phase II as preprocessing tasks. In Phase III, the RV cavity region was segmented by generating intensity threshold which was used for once for all frames. Finally, Phase IV is proposed to extract the RV endocardial contour in a complete cardiac cycle using a combination of shape-based contour detection and improved radial search algorithm. The proposed method was applied to 16 datasets of 3D echocardiography encompassing the RV in long-axis view. The accuracy of experimental results obtained by the proposed method was evaluated qualitatively and quantitatively. It has been done by comparing the segmentation results of RV cavity based on endocardial contour extraction with the ground truth. The comparative analysis results show that the proposed method performs efficiently in all datasets with overall performance of 95% and the root mean square distances (RMSD) measure in terms of mean ± SD was found to be 2.21 ± 0.35 mm for RV endocardial contours. |
| first_indexed | 2024-03-06T08:34:32Z |
| format | Article |
| id | upm.eprints-36172 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:34:32Z |
| publishDate | 2014 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | upm.eprints-361722017-10-30T03:17:30Z http://psasir.upm.edu.my/id/eprint/36172/ A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset Dawood, Faten Abed Ali O. K. Rahmat, Rahmita Wirza Kadiman, Suhaini Abdullah, Lili Nurliyana Dimon, Mohd Zamrin This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases. In Phase I, the region of interest (ROI) is identified by estimating the cavity boundary. Speckle noise reduction and contrast enhancement were implemented in Phase II as preprocessing tasks. In Phase III, the RV cavity region was segmented by generating intensity threshold which was used for once for all frames. Finally, Phase IV is proposed to extract the RV endocardial contour in a complete cardiac cycle using a combination of shape-based contour detection and improved radial search algorithm. The proposed method was applied to 16 datasets of 3D echocardiography encompassing the RV in long-axis view. The accuracy of experimental results obtained by the proposed method was evaluated qualitatively and quantitatively. It has been done by comparing the segmentation results of RV cavity based on endocardial contour extraction with the ground truth. The comparative analysis results show that the proposed method performs efficiently in all datasets with overall performance of 95% and the root mean square distances (RMSD) measure in terms of mean ± SD was found to be 2.21 ± 0.35 mm for RV endocardial contours. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36172/1/36172.pdf Dawood, Faten Abed Ali and O. K. Rahmat, Rahmita Wirza and Kadiman, Suhaini and Abdullah, Lili Nurliyana and Dimon, Mohd Zamrin (2014) A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset. Advances in Bioinformatics, 2014. art. no. 207149. pp. 1-15. ISSN 1687-8027; ESSN: 1687-8035 https://www.hindawi.com/journals/abi/2014/207149/abs/ 10.1155/2014/207149 |
| spellingShingle | Dawood, Faten Abed Ali O. K. Rahmat, Rahmita Wirza Kadiman, Suhaini Abdullah, Lili Nurliyana Dimon, Mohd Zamrin A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset |
| title | A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset |
| title_full | A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset |
| title_fullStr | A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset |
| title_full_unstemmed | A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset |
| title_short | A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset |
| title_sort | hybrid method for endocardial contour extraction of right ventricle in 4 slices from 3d echocardiography dataset |
| url | http://psasir.upm.edu.my/id/eprint/36172/1/36172.pdf |
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